You have approved the screens, but you are still unsure whether the software will fit the way your team works.
A working prototype can make that uncertainty easier to discuss. Its value comes from the decisions it helps you make while changes are still being understood.
We built a fleet management MVP delivered in two months using approach that brought prototyping into requirements gathering. That timeline belongs to a specific project. The broader lesson is to review behavior early, while there is still room to clarify what the system needs to do.
Speed, shown rather than claimed, begins with something a buyer can inspect. Use the prototype to test your understanding of the workflow, not just your preference for the interface.
Walk through a real task
Choose a situation your team recognizes. Start where the user would start and follow the work until the intended outcome is reached.
What information needs to be available? Which decisions does the user make? What do they expect to happen after an action? Ask the person who normally performs the task to explain their thinking as they move through it.
The aim is to find a mismatch between the proposed behavior and the real job. A screen can look clear in isolation while leaving the user unsure about the next step. Following the task makes that gap easier to identify.
Look beyond the normal path
Bring examples of work that does not arrive neatly. A required detail might be missing. Someone might need to correct a decision or return a task to another person.
Use those situations to discuss what the software should do. You do not need every exception fully built in the prototype, but you should record the decision or the unanswered question.
This is also a useful way to distinguish an essential requirement from a possible later enhancement. If the workflow cannot continue without it, that deserves a different discussion from a feature that simply makes the interface more convenient.
Ask what is real in the demonstration
A clickable flow is useful, but it does not prove that every integration, calculation, or operating condition has been implemented.
Ask which parts use real data, which are simulated, and which still need development and testing. This keeps the prototype useful without confusing early feedback with final acceptance.
Read [internal link: What Your First Custom Software Release Should Include] for deciding which capabilities belong in the first usable release.
Turn feedback into a decision
Avoid leaving the review with a loose collection of preferences. Record what needs to change, why it matters to the task, and who can resolve any open question.
When feedback changes the agreed behavior, discuss the scope and delivery implications explicitly. Seeing a request in a prototype makes it easier to understand, but it does not make every change free of effort.
Dihardja uses AI-assisted prototyping alongside requirements gathering so clients can react to working flows while the product is being defined. The method still leaves real work in integrations, backend logic, and testing.
At your next prototype review, bring an actual task and the person who performs it. Leave with a clearer decision about how the software should work.
